Multi-path number estimation method based on channel observation impulse response model

Abstract

The invention discloses a multi-path number estimation method based on a channel observation impulse response model. A pseudo-random sequence of length N is selected to be used as a baseband detectionsignal, the spatial channel impulse response model is determined, a receiving array antenna which has M identical array elements and is in uniform linear arrangement is generated, and a steering vector of an antenna array is determined; sliding correlation is carried out on received signals of first-to-M-th receiving antenna oscillators and the standard local pseudo-random sequence to obtain observation impulse response, discretization is carried out to obtain an observation impulse response matrix, multi-path number estimation is carried out on the observation impulse response matrix, inspection and estimation are carried out on first-to-K-th valid paths and coherence paths of spatial channels, and the multi-path number of the entire received signals and a corresponding correlation structure are obtained. According to the method, number estimation of the massive multi-path signals is realized, estimation accuracy is high, and the coherence paths can be distinguished.

Description

technical field [0001] The invention belongs to the technical field of ranging and positioning in a wireless communication system, and in particular relates to a method for estimating the number of multipaths based on a channel observation impulse response model. Background technique [0002] In order to better utilize the spatial domain characteristics of multipath channels, accurate channel models are indispensable. The channel parameters supporting the channel model also need to be measured and solved. Among them, the estimation of the angle of arrival is essential. Most of the existing high-precision angle-of-arrival estimation algorithms, such as MUSIC algorithm, ESPRIT algorithm, and likelihood algorithm, can achieve their super-resolution performance. One of the prerequisites is that the number of multipaths is known. If this prior knowledge is not the same as the actual number of multipaths, the performance of most estimation algorithms will degrade rapidly, or eve...

AI Technical Summary

Problems solved by technology

[0003] The existing multipath number estimation algorithm has the following shortcomings: 1. The algorithm has poor stability, and its performance drops sharply in the harsh environment; 2. The estimation performance of the number of coherent paths is poor, that is, the ability to solve the coherence is weak ; 3. Due to the limitation of the number of apertures of the array antenna, the traditional algorithm requires that the number of multipaths is smaller than the number of elements of the antenna array, but the number of multipaths in the channel of the actual dense multipath scene is too large to meet the requirements

[0004] Therefore, the traditional multipath number estimation algorithm is no longer suitable for dense multipath scenes, and a new algorithm is needed to achieve the correct multipath number and related structure estimation

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